{"id":"https://openalex.org/W2756334267","doi":"https://doi.org/10.1109/ita.2017.8023479","title":"Illum information","display_name":"Illum information","publication_year":2017,"publication_date":"2017-02-01","ids":{"openalex":"https://openalex.org/W2756334267","doi":"https://doi.org/10.1109/ita.2017.8023479","mag":"2756334267"},"language":"en","primary_location":{"id":"doi:10.1109/ita.2017.8023479","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ita.2017.8023479","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 Information Theory and Applications Workshop (ITA)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5005738137","display_name":"Ravi Kiran Raman","orcid":"https://orcid.org/0000-0002-7649-0822"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ravi Kiran Raman","raw_affiliation_strings":["Coordinated Science Laboratory"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Coordinated Science Laboratory","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086689023","display_name":"Haizi Yu","orcid":"https://orcid.org/0000-0003-1643-7541"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Haizi Yu","raw_affiliation_strings":["Coordinated Science Laboratory"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Coordinated Science Laboratory","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5065423139","display_name":"Lav R. Varshney","orcid":"https://orcid.org/0000-0003-2798-5308"},"institutions":[{"id":"https://openalex.org/I157725225","display_name":"University of Illinois Urbana-Champaign","ror":"https://ror.org/047426m28","country_code":"US","type":"education","lineage":["https://openalex.org/I157725225"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Lav R. Varshney","raw_affiliation_strings":["University of Illinois at Urbana-Champaign"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Illinois at Urbana-Champaign","institution_ids":["https://openalex.org/I157725225"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"8","issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10211","display_name":"Computational Drug Discovery Methods","score":0.9742000102996826,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10211","display_name":"Computational Drug Discovery Methods","score":0.9742000102996826,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T14351","display_name":"Statistical and Computational Modeling","score":0.9448000192642212,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T13377","display_name":"Ecosystem dynamics and resilience","score":0.9218999743461609,"subfield":{"id":"https://openalex.org/subfields/2306","display_name":"Global and Planetary Change"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/mutual-information","display_name":"Mutual information","score":0.8417313098907471},{"id":"https://openalex.org/keywords/extension","display_name":"Extension (predicate logic)","score":0.5966665744781494},{"id":"https://openalex.org/keywords/random-variable","display_name":"Random variable","score":0.5847105383872986},{"id":"https://openalex.org/keywords/markov-chain","display_name":"Markov chain","score":0.5781416296958923},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.533643364906311},{"id":"https://openalex.org/keywords/independence","display_name":"Independence (probability theory)","score":0.4897801876068115},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.46244269609451294},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4598155915737152},{"id":"https://openalex.org/keywords/conditional-mutual-information","display_name":"Conditional mutual information","score":0.41464677453041077},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3209173083305359},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2358035445213318},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.16870799660682678},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.161138117313385}],"concepts":[{"id":"https://openalex.org/C152139883","wikidata":"https://www.wikidata.org/wiki/Q252973","display_name":"Mutual information","level":2,"score":0.8417313098907471},{"id":"https://openalex.org/C2778029271","wikidata":"https://www.wikidata.org/wiki/Q5421931","display_name":"Extension (predicate logic)","level":2,"score":0.5966665744781494},{"id":"https://openalex.org/C122123141","wikidata":"https://www.wikidata.org/wiki/Q176623","display_name":"Random variable","level":2,"score":0.5847105383872986},{"id":"https://openalex.org/C98763669","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov chain","level":2,"score":0.5781416296958923},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.533643364906311},{"id":"https://openalex.org/C35651441","wikidata":"https://www.wikidata.org/wiki/Q625303","display_name":"Independence (probability theory)","level":2,"score":0.4897801876068115},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.46244269609451294},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4598155915737152},{"id":"https://openalex.org/C124805900","wikidata":"https://www.wikidata.org/wiki/Q5159269","display_name":"Conditional mutual information","level":3,"score":0.41464677453041077},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3209173083305359},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2358035445213318},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.16870799660682678},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.161138117313385},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ita.2017.8023479","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ita.2017.8023479","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 Information Theory and Applications Workshop (ITA)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities","score":0.5799999833106995}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W1520494951","https://openalex.org/W1579277775","https://openalex.org/W1579548224","https://openalex.org/W1965555277","https://openalex.org/W1976493872","https://openalex.org/W2091891040","https://openalex.org/W2103396489","https://openalex.org/W2127521623","https://openalex.org/W2139708568","https://openalex.org/W2140788188","https://openalex.org/W2153010866","https://openalex.org/W2154426084","https://openalex.org/W2154805298","https://openalex.org/W2158684248","https://openalex.org/W2171296290","https://openalex.org/W2267540778","https://openalex.org/W2294642219","https://openalex.org/W2573028185","https://openalex.org/W2962962343","https://openalex.org/W3127518054","https://openalex.org/W3151023666","https://openalex.org/W6682173636"],"related_works":["https://openalex.org/W4205619203","https://openalex.org/W3135541457","https://openalex.org/W4313429060","https://openalex.org/W3164528651","https://openalex.org/W2044289181","https://openalex.org/W181490901","https://openalex.org/W2337819340","https://openalex.org/W3048654224","https://openalex.org/W4390964098","https://openalex.org/W4298175512"],"abstract_inverted_index":{"Shannon's":[0],"mutual":[1,7,29,38],"information":[2,15,52,87,112],"measures":[3],"the":[4,22,34,47,54,68,90,95,110],"degree":[5],"of":[6,28,37,50,57,63,70,73,76,85],"dependence":[8],"between":[9],"two":[10],"random":[11,77,118],"variables.":[12,78],"Two":[13],"related":[14],"functionals":[16],"have":[17],"also":[18,81],"been":[19],"developed":[20],"in":[21,67],"literature:":[23],"multiinformation,":[24],"a":[25,74],"multivariate":[26,48],"extension":[27,49],"information;":[30],"and":[31,53,94,116],"lautum":[32,51],"information,":[33,46],"Csisz\u00e1r":[35,55],"conjugate":[36,56],"information.":[39],"In":[40],"this":[41,64],"work,":[42],"we":[43,80,108],"define":[44],"illum":[45,86,111],"multiinformation.":[58],"We":[59],"provide":[60,82],"operational":[61],"interpretations":[62],"functional,":[65],"including":[66],"problem":[69],"independence":[71],"testing":[72],"set":[75],"Further,":[79],"informational":[83],"characterizations":[84],"such":[88],"as":[89,105],"data":[91],"processing":[92],"inequality":[93],"chain":[96],"rule":[97],"for":[98,113],"distributions":[99],"on":[100],"tree-structured":[101],"graphical":[102],"models.":[103],"Finally,":[104],"illustrative":[106],"examples,":[107],"compute":[109],"Ising":[114],"models":[115],"Gauss-Markov":[117],"fields.":[119]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2017-09-25T00:00:00"}